from mmengine.config import read_base

with read_base():
    from ..datasets.ARC_c.ARC_c_gen_1e0de5 import ARC_c_datasets
    from ..datasets.ARC_e.ARC_e_gen_1e0de5 import ARC_e_datasets
    from ..datasets.ceval.ceval_gen_5f30c7 import ceval_datasets
    from ..summarizers.example import summarizer

datasets = sum([v for k, v in locals().items() if k.endswith("_datasets") or k == 'datasets'], [])
work_dir = './outputs/llama2_7b_chat/'

from opencompass.models import TGICHATAPI

api_meta_template = dict(
    round=[
            dict(role='HUMAN', api_role='HUMAN'),
            dict(role='BOT', api_role='BOT', generate=True),
    ],
)

models = [
    dict(abbr='llama2_7b_chat',
        type=TGICHATAPI, path='/data/models/Llama-2-7b-chat-hf',
        meta_template=api_meta_template,
        query_per_second=1,
        max_out_len=2048, max_seq_len=4096, batch_size=8),
]